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P-Bench: benchmarking in data-centric pervasive application development

Sabina Surdu 1, 2 Yann Gripay 2 Vasile-Marian Scuturici 2 Jean-Marc Petit 2
2 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Developing complex data-centric applications, which manage intricate interactions between distributed and heterogeneous entities from pervasive environments, is a tedious task. In this paper we pursue the difficult objective of assessing the ”easiness” of data-centric development in pervasive environments, which turns out to be much more challenging than simply measuring execution times in performance analyses and requires highly qualified programmers.We introduce P-Bench, a benchmark that comparatively evaluates the easiness of development using three types of systems: (1) the Microsoft StreamInsight unmodified Data Stream Management System, LINQ and C#, (2) the StreamInsight++ ad hoc framework, an enriched version of StreamInsight, that meets pervasive application requirements, and (3) our SoCQ system, designed for managing data, streams and services in a unified manner. We define five tasks that we implement in the analysed systems, based on core needs for pervasive application development. To evaluate the tasks’ implementations, we introduce a set of metrics and provide the experimental results. Our study allows differentiating between the proposed types of systems based on their strengths and weaknesses when building pervasive applications.
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Submitted on : Monday, March 20, 2017 - 9:10:09 AM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM
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Sabina Surdu, Yann Gripay, Vasile-Marian Scuturici, Jean-Marc Petit. P-Bench: benchmarking in data-centric pervasive application development. Lecture Notes in Computer Science, Springer, 2013, Transactions on Large-Scale Data- and Knowledge-Centered Systems XI, 8290, pp.51-75. ⟨10.1007/978-3-642-45269-7_3⟩. ⟨hal-01339246⟩



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